T1A Develops Cloud File Transfer Framework to Democratize Data Integration
<h1>Introduction</h1>
<p>Imagine a Data Platform that’s operating smoothly, with data pipelines functioning flawlessly day in and day out. Then, all of a sudden, new demands emerge that involve integrating various files into the platform, for example:</p>
<ul>
<li>A business user urgently approaches you, asking for specific data from a file or another system to conduct tests or validate numbers.</li>
<li>Your Data Engineering team receives a new assignment: to add hundreds of files to the existing data pipelines on a daily basis.</li>
<li>Analysts on your team want to compare your internal data with information from an external Excel or CSV file.</li>
</ul>
<p>Faced with these challenges, you, as a responsible Manager, have a dilemma: Should you treat each request as a one-off, assigning a team of Data Engineers to create individual pipelines? Or would you rather develop a framework that enables end-users to ingest data themselves and perform analytics with external and partner data?</p>
<p><a href="https://medium.com/@kirillchufarov/t1a-develops-cloud-file-transfer-framework-to-democratize-data-integration-8fc2b016169a"><strong>Read More</strong></a></p>